/**
 * This program is free software, you can redistribute it and/or modify it.
 * Copyright (c) 2025 Huawei Technologies Co., Ltd.
 * This file is a part of the CANN Open Software.
 * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING
 * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */

#include "logaddexp.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_def.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"

using namespace op;

namespace l0op {

OP_TYPE_REGISTER(LogAddExp);

static const std::initializer_list<op::DataType> AICORE_DTYPE_SUPPORT_LIST = {
    op::DataType::DT_FLOAT, op::DataType::DT_FLOAT16, op::DataType::DT_BF16};

static bool IsAiCoreSupport(const aclTensor* self)
{
    return CheckType(self->GetDataType(), AICORE_DTYPE_SUPPORT_LIST);
}

static const aclTensor* LogAddExpAiCore(
    const aclTensor* self, const aclTensor* other, const float base, const float scale, const float shift,
    aclTensor* out, aclOpExecutor* executor)
{
    L0_DFX(LogAddExpAiCore, self, other, base, scale, shift, out);

    auto ret =
        ADD_TO_LAUNCHER_LIST_AICORE(LogAddExp, OP_INPUT(self, other), OP_OUTPUT(out), OP_ATTR(base, scale, shift));
    OP_CHECK(
        ret == ACL_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "LogAddExpAiCore ADD_TO_LAUNCHER_LIST_AICORE failed."),
        return nullptr);
    return out;
}

const aclTensor* LogAddExp(
    const aclTensor* self, const aclTensor* other, const float base, const float scale, const float shift,
    aclOpExecutor* executor)
{
    L0_DFX(LogAddExp, self, other, base, scale, shift);

    aclTensor* out = nullptr;
    op::Shape broadcastShape;
    auto selfShape = self->GetViewShape();
    auto otherShape = other->GetViewShape();
    CHECK_RET(BroadcastInferShape(selfShape, otherShape, broadcastShape), nullptr);
    out = executor->AllocTensor(broadcastShape, self->GetDataType());
    CHECK_RET(out != nullptr, nullptr);

    if (IsAiCoreSupport(self)) {
        return LogAddExpAiCore(self, other, base, scale, shift, out, executor);
    } else {
        return nullptr;
    }
}

} // namespace l0op